Heterogeneous computational model for landform attributes representation on multicore and multi-GPU systems

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Mathematical models are often used to simplify landform representation. Its importance is due to the possibility of describing phenomena by means of mathematical models from a data sample. High processing power is needed to represent large areas with a satisfactory level of details. In order to accelerate the solution of complex problems, it is necessary to combine two basic components in heterogeneous systems formed by a multicore with one or more GPUs. In this paper, we present a methodology to represent landform attributes on heterogeneous multicore and multi-GPU systems using high performance computing techniques for efficient solution of two-dimensional polynomial regression model that allow to address large problem instances. © 2012 Published by Elsevier Ltd.

Cite

CITATION STYLE

APA

Boratto, M., Alonso, P., Ramiro, C., & Barreto, M. (2012). Heterogeneous computational model for landform attributes representation on multicore and multi-GPU systems. In Procedia Computer Science (Vol. 9, pp. 47–56). Elsevier B.V. https://doi.org/10.1016/j.procs.2012.04.006

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free